What are the basics of using DataFrames in Pandas?

What are the basics of using DataFrames in Pandas?

DataFrames are 2-dimensional labeled data structures in Pandas, similar to a table in a database. They allow you to store and manipulate data easily.

How do I create a DataFrame from a dictionary?

You can create a DataFrame from a dictionary by passing it to the pd.DataFrame() constructor. For example: pd.DataFrame({'A': [1, 2], 'B': [3, 4]}).

What are some common operations I can perform on a DataFrame?

Common operations include selecting columns, filtering rows, grouping data, and applying functions. You can also merge and join DataFrames.

How can I handle missing values in a DataFrame?

You can handle missing values using methods like dropna() to remove them or fillna() to replace them with a specific value.